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Data clean rooms · October 2026 Edition

Decentriq vs Databricks Clean Rooms

Zero of fourteen models named Decentriq first on the direct prompt; one named Databricks Clean Rooms. Decentriq was named by twelve of the fourteen models and Databricks Clean Rooms by twelve and Decentriq carries 28 labels and Databricks Clean Rooms 27, so the shares are not directly comparable.

Decentriq

accepted challenger

Named in one category this edition.

Databricks Clean Rooms

accepted challenger

By Databricks, San Francisco, United States, founded 2013. Named in one category this edition.

First-choice share3%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 10; printed, not drawn.
Labels2827A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Decentriq reading right to left. Rank and label count are printed, not drawn.Snowflake Data Clean Rooms was named alongside these two in eleven of the fourteen direct answers. Snowflake Data Clean Rooms vs Decentriq · Snowflake Data Clean Rooms vs Databricks Clean Rooms · AWS Clean Rooms vs Decentriq

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data clean rooms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DecentriqFirst choices, of fourteen modelsDatabricks Clean Rooms
Direct011 against Decentriq · 1 against Databricks Clean Rooms
Paraphrase20
Comparative01
Budget-constrained002 against Decentriq
Scale-constrained00
Negative103 against Databricks Clean Rooms
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Decentriq and Databricks Clean Rooms were named in the same answer thirty-six times, of the 87 answers naming Decentriq and the 73 naming Databricks Clean Rooms. In those answers Databricks Clean Rooms took the first choice one time and Decentriq two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Decentriq and Databricks Clean Rooms stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Decentriq Databricks Clean Rooms first choice named as an alternative argued againstblank: not namedEach cell is one answer, Decentriq on the left and Databricks Clean Rooms on the right.

The direct prompt

The plain question, one answer per model, grouped by where Decentriq and Databricks Clean Rooms stood in it.

Databricks Clean Rooms first, Decentriq not the choice

1 of 14 modelsDecentriq was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: Apollo.io

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniAWS Clean Rooms alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms
Grok 4.1 FastAWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Decentriq, InfoSum, LiveRamp Clean Room
Mistral SmallInfoSum alternatives: Decentriq, Habu, LiveRamp Clean Room

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashCrossbeam alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms
Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room
DeepSeek V4 FlashOptable alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms
Llama 4 MaverickAmazon Marketing Cloud
Qwen 3.7 FlashLiveRamp Clean Room alternatives: Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade Desk
Kimi K2Optable alternatives: Habu, Snowflake Data Clean Rooms
GLM 4.7 FlashXSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate
MiniMax M2.5Amazon Marketing Cloud alternatives: Deciq
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean Room
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by Habu

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Decentriq leads by two points.
Decentriq2%#7 of 12
Databricks Clean Rooms0%#10 of 12
The full small business standing →
Mid-marketThe figures above
Decentriq leads by two points.
Decentriq3%#6 of 10
Databricks Clean Rooms2%#7 of 10
The full mid-market standing →
Enterprise
Decentriq leads by seven points.
Decentriq7%#5 of 9
Databricks Clean Rooms0%#7 of 9
The full enterprise standing →

What the models said about Decentriq

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“positioned more for regulated or security-heavy use cases, which usually makes it less budget-oriented” Perplexity Sonar · budget prompt · soft negative
“these enterprise-grade platforms are almost always a classic case of over-engineering” Gemini 3.5 Flash · direct prompt · soft negative
“like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible” Gemini 3.5 Flash · budget prompt · soft negative
“neutral, pure-play DCR vendors with hardware-backed privacy ... These include: Decentriq (confidential computing/hardware-backed)” DeepSeek V4 Flash · negative prompt · first choice
“Optable or Decentriq are commonly cited data clean room options” Muse Glimmer 30B · paraphrase prompt · first choice
“I'd suggest starting with either Decentriq or InfoSum” MiniMax M2.5 · paraphrase prompt · first choice

What the models said about Databricks Clean Rooms

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Cloud-based (e.g., AWS Clean Rooms, Snowflake, Databricks) | Strong infrastructure, but integration complexity and variable TCO” Grok 4.1 Fast · negative prompt · soft negative
“Some concerns about identity resolution rules not being well-documented” Kimi K2 · negative prompt · soft negative
“user reviews of Databricks Clean Rooms have scored poorly here” DeepSeek V4 Flash · negative prompt · soft negative
“Snowflake, Databricks, and LiveRamp Safe Haven provide balanced scalability and governance support.” Claude Haiku 4.5 · direct prompt · first choice
“Choose Snowflake, Databricks, or AWS if you already have a mature data team” Gemini 3.5 Flash · comparative prompt · first choice
“If your data ecosystem is built on Databricks, their Delta Sharing and Unity Catalog offer a similar, highly secure distributed data clean room experience.” Gemini 3.5 Flash · paraphrase prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.